Method Article

Single-cell Quantitation of mRNA and Surface Protein Expression in Simian Immunodeficiency Virus-infected CD4+ T Cells Isolated from Rhesus macaques

DOI:

10.3791/57776

⸱

September 25th, 2018

In This Article

Summary

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Described is a methodology to quantitate the expression of 96 genes and 18 surface proteins by single cells ex vivo, allowing for the identification of differentially expressed genes and proteins in virus-infected cells relative to uninfected cells. We apply the approach to study SIV-infected CD4+ T cells isolated from rhesus macaques.

Abstract

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Single-cell analysis is an important tool for dissecting heterogeneous populations of cells. The identification and isolation of rare cells can be difficult. To overcome this challenge, a methodology combining indexed flow cytometry and high-throughput multiplexed quantitative polymerase chain reaction (qPCR) was developed. The objective was to identify and characterize simian immunodeficiency virus (SIV)-infected cells present within rhesus macaques. Through quantitation of surface protein by fluorescence-activated cell sorting (FACS) and mRNA by qPCR, virus-infected cells are identified by viral gene expression, which is combined with host gene and protein measurements to create a multidimensional profile. We term the approach, targeted Single-Cell Proteo-transcriptional Evaluation, or tSCEPTRE. To perform the method, viable cells are stained with fluorescent antibodies specific for surface markers used for FACS isolation of a cell subset and/or downstream phenotypic analysis. Single cells are sorted followed by immediate lysis, multiplex reverse transcription (RT), PCR pre-amplification, and high throughput qPCR of up to 96 transcripts. FACS measurements are recorded at the time of sorting and subsequently linked to the gene expression data by well position to create a combined protein and transcriptional profile. To study SIV-infected cells directly ex vivo, cells were identified by qPCR detection of multiple viral RNA species. The combination of viral transcripts and the quantity of each provide a framework for classifying cells into distinct stages of the viral life cycle (e.g., productive versus non-productive). Moreover, tSCEPTRE of SIV+ cells were compared to uninfected cells isolated from the same specimen to assess differentially expressed host genes and proteins. The analysis revealed previously unappreciated viral RNA expression heterogeneity among infected cells as well as in vivo SIV-mediated post-transcriptional gene regulation with single-cell resolution. The tSCEPTRE method is relevant for the analysis of any cell population amenable to identification by expression of surface protein marker(s), host or pathogen gene(s), or combinations thereof.

Introduction

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Many intracellular pathogens rely on host cell machinery to replicate, often altering host cell biology or targeting very specific subpopulations of host cells to maximize their chances of propagation. As a result, cell biological processes are commonly disrupted, with deleterious consequences for the overall health of the host. Understanding the interactions between viruses and the host cells in which they replicate will elucidate disease mechanisms that may aid in the development of improved therapies and strategies to prevent infection. Direct analytic tools that enable the study of host-pathogen interactions are essential toward this end. Single-cell analysis prov....

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Protocol

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NOTE: A schematic of the protocol workflow is shown in Figure 1. It consists of three principal steps: FACS, RT and cDNA pre-amplification, and qPCR for up to 96 genes simultaneously. Two versions of the protocol, sorting cells in limiting dilutions and sorting single cells, are described in greater detail in step 5 and step 6, respectively. These strategies address different research questions but follow similar procedures.

1. Prerequisite or Prior Analyses

  1. Validate all gene expression assays to be used as previously described6.
    NOTE: This step is done well in advance....

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Results

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The workflow for the entire protocol is depicted in Figure 1. It consists of two variations defined by the number of cells sorted: either limiting dilution or as single cells, as described in the text. Examples of primer-probe qualification analyses on 2-fold serial RNA dilutions are shown in Figure 2. The gating strategy to identify potential SIV+ cells is shown in Figure 3. A successful,.......

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Discussion

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The protocol described here, termed tSCEPTRE, integrates single-cell surface protein quantitation by multiparameter flow cytometry with quantitative single-cell mRNA expression by highly multiplexed RT-qPCR. The union of these two technologies enables high-content snapshots of the combined transcriptional and protein profile of single cells in a high-throughput format. We use the method to identify heretofore elusive cells infected with SIV in vivo, and describe differentially expressed host genes and proteins. .......

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Disclosures

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This work was supported by a cooperative agreement (W81XWH-07-2-0067) between the Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., and the U.S. Department of Defense (DOD). The views expressed are those of the authors and should not be construed to represent the positions of the U.S. Army or the Department of Defense. Research was conducted under an approved animal use protocol in an AAALACi accredited facility in compliance with the Animal Welfare Act and other federal statutes and regulations relating to animals and experiments involving animals and adheres to principles stated in the Guide for the Care and Use of Laboratory Animals, NRC Publication, 2011 edition.

Acknowledgements

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The authors would like to thank the NIAID VRC Flow Cytometry Core and the MHRP Flow Cytometry Core facilities for maintenance and operation of FACS instruments and sorting equipment; Maria Montero, Vishakha Sharma, Kaimei Song for expert technical assistance; Michael Piatak, Jr. (deceased) for assistance with SIV qPCR assay design; and Brandon Keele and Matthew Scarlotta for SIV isolate sequences. The views expressed are those of the authors and should not be construed to represent the positions of the U.S. Army or the Department of Defense. Research was conducted under an approved animal use protocol in an AAALAC accredited facility in compliance with the Animal Welf....

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Materials

List of materials used in this article
NameCompanyCatalog NumberComments

RNA extraction and PCR reagents and consumables

Genemate 96-Well Semi-Skirted PCR Plate

BioExpress/VWR

T-3060-1

Adhesive PCR Plate Seals

ThermoFisher

AB0558

Armadillo 384-well PCR Plate

ThermoFisher

AB2384

MicroAmp Optical Adhesive Film

Applied Biosystems/ThermoFisher

4311971

DEPC Water

Quality Biological

351-068-101

Glass Distilled Water

Teknova

W3345

Superscript III Platinum One-Step qRT-PCR Kit

Invitrogen/ThermoFisher

11732088

SUPERase-In Rnase Inhibitor

Invitrogen/ThermoFisher

AM2696

Platinum Taq

Invitrogen/ThermoFisher

10966034

dNTP Mix

Invitrogen/ThermoFisher

18427088

ROX Reference Dye (if separate from kit)

Invitrogen/ThermoFisher

12223012

DNA Suspension Buffer

Teknova

T0223

RNAqueous kit

Invitrogen/ThermoFisher

AM1931

TaqMan gene expression assays not listed in Table 2

CD6

Applied Biosystems/ThermoFisher

Hs00198752_m1

TLR3

Applied Biosystems/ThermoFisher

Hs1551078_m1

Biomark reagents

Control Line Fluid Kit

Fluidigm

89000021

TaqMan Universal PCR Mix

Applied Biosystems/ThermoFisher

4304437

Assay Loading Reagent

Fluidigm

85000736

Sample Loading Reagent

Fluidigm

85000735

Dynamic Array 96.96 (chip)

Fluidigm

BMK-M-96.96

FACS reagents

SPHERO COMPtrol Goat anti-mouse (lambda)

Spherotech Inc.

CMIgP-30-5H

CompBeads Anti-Mouse Ig,k

BD Biosciences

51-90-9001229

5 ml Polystyrene tube with strainer cap

FALCON

352235

Aqua Live/Dead stain

Invitrogen/ThermoFisher

L34976

dilute 1:800

Mouse Anti-Human CD3 BV650 clone SP34-2

BD Biosciences

563916

dilute 1:40

Mouse Anti-Human CD4 BV786 clone L200

BD Biosciences

563914

dilute 1:20

Mouse Anti-Human CD8 BUV496 clone RPA-T8

BD Biosciences

564804

dilute 1:10

Mouse Anti-Human CD28 BV711 clone CD28.2

Biolegend

302948

dilute 1:20

Mouse Anti-Human CD95 BUV737 clone DX2

BD Biosciences

564710

dilute 1:10

Mouse Anti-Human CD14 BV510 clone M5E2

Biolegend

301842

dilute 1:83

Mouse Anti-Human CD16 BV510 clone 3G8

Biolegend

302048

dilute 1:167

Mouse Anti-Human CD20 BV510 clone 2H7

Biolegend

302340

dilute 1:37

Anti-CD38-R PE clone OKT10

NHP reagent recource

N/A

dilute 1:100

Mouse Anti-Human CD69 BUV395 clone FN50

BD Biosciences

564364

dilute 1:10

Mouse Anti-Human HLA-DR APC-H7 clone G46-6

BD Biosciences

561358

dilute 1:20

Mouse Anti-Human ICOS Alexa Fluor 700 clone C398.4A

Biolegend

313528

dilute 1:80

Instruments

BioPrptect Containment Enclosure

Baker

BD FACS Aria

BD Biosciences

ProtoFlex Dual 96-well PCR system

Applied Biosystems/ThermoFisher

4484076

Quant Studio 6 qPCR instrument

Applied Biosystems/ThermoFisher

4485694

IFC controller HX

Fluidigm

IFC-HX

Biomark HD

Fluidigm

BMKHD-BMKHD

References

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  1. Macaulay, I. C., Ponting, C. P., Voet, T. Single-Cell Multiomics: Multiple Measurements from Single Cells. Trends Genet. 33 (2), 155-168 (2017).
  2. Pasternak, A. O., Lukashov, V. V., Berkhout, B. Cell-associated HIV RNA: a dynamic biomarker of viral persistence. Retrovirology

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Tags

Single Cell AnalysisFlow CytometryQuantitative PCRViral Gene ExpressionSurface Protein QuantitationCell SortingMultiplexed RTqPCRIndexed SortingRhesus Macaque T CellsSimian Immunodeficiency Virus

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